Microgrids have emerged as a promising solution to integrate distributed energy resources
(DERs) and supply reliable and efficient electricity. The operation of a microgrid involves the …

Several issues of individual microgrids (MGs) such as voltage and frequency fluctuations
mainly due to the intermittent nature of renewable energy sources'(RESs) power production …

We show that artificial neural networks with rectifier units as activation functions can exactly
represent the piecewise affine function that results from the formulation of model predictive …

This paper presents a strategy based on the hierarchical rolling horizon control, also called
model predictive control (MPC), for efficiently managing a hydrogen-energy storage system …

Coordinating the operation of neighboring microgrids is a promising solution for the problem
of growing penetration of renewable-based microgrids into the power system. In this paper …

This paper proposes a hybrid control method based on model predictive control (MPC) and
iterative learning control (ILC) for the hybrid energy storage system (HESS) in the …

In future distribution grids, prosumers (ie, energy consumers with storage and/or production
capabilities) will trade energy with each other and with the main grid. To ensure an efficient …

Abstract Model predictive control (MPC) facilitates the multi-variable control of power
electronic systems while accommodating physical constraints without the necessity for a …

The energy sector is undergoing a paradigm shift among all the stages, from generation to
the consumer end. The affordable, flexible, secure supply–demand balance due to an …

This paper presents a decentralized control strategy for the scheduling of electrical energy
activities of a microgrid composed of smart homes connected to a distributor and …